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Filtering by: Alternative title ssim Technical bulletin 106 Committee Member Tadepalli, Prasad Rights Statement In Copyright Subject Anomaly detection (Computer security)

1. A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

Creator:: Emmott, Andrew F.
Abstract:: It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
Resource Type:: Masters Thesis

2. Anomaly Detection: Theory, Explanation and User Feedback

Creator:: Siddiqui, Md Amran
Abstract:: Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
Resource Type:: Dissertation
Full Text:: and Future Work . . . . . . . . . . . . . . . . . . . . . . . . 106 Bibliography

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1. A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

2. Anomaly Detection: Theory, Explanation and User Feedback

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1. A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

2. Anomaly Detection: Theory, Explanation and User Feedback

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